Abstract: In order to evaluate continuous innovation ability of high-end equipment manufacturing enterprises objectively and accurately, this study establishes an evaluation indicator system of continuous innovation ability of high-end equipment manufacturing enterprises, and employs MC-ZF - HD -DS to carry out evaluation of continuous innovation ability of concrete high-end equipment manufacturing enterprises. Further more this paper adopts a fuzzy rough set method to select high frequency audition evaluation indicators, uses maximize performance combination weight method to carry out weighting of the selected indicator system, and uses grey fixed weight clustering to cluster evaluation objects. On this basis, the evidence theory is adopted to carry out synthesis of the clustering results, set ten high-end equipment manufacturing enterprises as research objects, and then make an empirical analysis of the established evaluation model of continuous innovation ability of high-end equipment manufacturing enterprises. Finally this study forms the final evaluation results, and demonstrates the feasibility and effectiveness of the above method through empirical analysis.

Key words: continuous innovation, ability to evaluate, fuzzy rough sets, combination weight, grey fixed weight clustering, evidence theory

摘要： 为客观和准确地评价高端装备制造企业的持续创新能力,建立了高端装备制造企业持续创新能力评价指标体系,采用MC-ZF-HD-DS对具体的高端装备制造企业持续创新能力进行评价。通过模糊粗糙集法对高频海选评价指标进行筛选,采用极差最大化组合赋权法对已筛选出的指标体系进行赋权,运用灰色定权聚类对评价对象进行聚类,在此基础上,运用证据理论对聚类结果进行合成,形成最终评价结果,最后通过实证分析验证了该方法的可行性和有效性。

关键词: 持续创新, 能力评价, 模糊粗糙集, 组合赋权, 灰色定权聚类, 证据理论